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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karipidis, E. Sidiropoulos, N.D. Zhi-Quan Luo |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electron. & Comput. Eng., Tech. Univ. Crete, Chania, Greece (Karipidis, E.; Sidiropoulos, N.D.) |
| Abstract | The problem of transmits beamforming to multiple co-channel multicast groups is considered, from the viewpoint of guaranteeing a prescribed minimum signal-to-interference-plus-noise-ratio (SENR) at each receiver. The problem is a multicast generalization of the SENR-constrained multiuser downlink beamforming problem: the difference is that each transmitted stream is directed to multiple receivers, each with its own channel. Such generalization is relevant and timely, e.g., in the context of 802.16 wireless networks. Based on earlier results for a single multicast group, the joint problem is easily shown to be NP-hard, a fact that motivates the pursuit of quasi-optimal computationally efficient solutions. It is shown that Lagrangian relaxation coupled with a randomization/co-channel multicast power control loop yields a computationally efficient high-quality approximate solution. For a significant fraction of problem instances, the solutions generated this way are exactly optimal. Carefully designed and extensive simulation results are presented to support the main findings. |
| Starting Page | 109 |
| Ending Page | 112 |
| File Size | 187759 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780393228 |
| DOI | 10.1109/CAMAP.2005.1574196 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-13 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Array signal processing Wireless networks Transmitting antennas Receiving antennas Broadcasting Antennas and propagation Downlink Lagrangian functions Signal to noise ratio Antenna arrays |
| Content Type | Text |
| Resource Type | Article |
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